Results 41 to 50 of about 1,692 (204)
ABSTRACT Multi‐sided platform (MSP) models have become more relevant for incumbent companies, requiring them to develop MSP engagement strategies. This study sheds light on the complex process incumbents undergo in developing platform strategies. Adopting an inductive research design, we conducted interviews with 37 decision‐makers across 35 incumbent ...
Lukas Zechel, Vivek K. Velamuri
wiley +1 more source
Affiliated Mutual Funds: Beyond the Reach of the Invisible Hand?
ABSTRACT In many countries, banks are the primary distribution channel for mutual funds and predominantly sell products issued by their own asset management divisions (“affiliated funds”). We examine how this lack of competition affects managerial activeness, fund performance, and investor outcomes.
Dominik Scheld +3 more
wiley +1 more source
CUSTOMER CHURN PREDICTION ANALYSIS
The Customers are the base of many successful businesses; thus, all the sectors are starting to understand how important it is to gain client satisfaction. The technical infrastructure has expanded quickly, changing how businesses operate. Due to growing business competition, the importance of marketing techniques, and customers' increasingly aware ...
E Padma Priya +2 more
openaire +1 more source
A joint model of cost and churn for the insurance industry
Abstract In insurance markets, claim costs are highly variable, heavy‐tailed, and difficult to predict. At the same time, policyholder retention and lapse behavior (customer churn) are critical determinants of long‐term profitability and solvency. Most existing models in the literature treat claim costs and lapses as independent, overlooking potential ...
Yumo Dong +4 more
wiley +1 more source
A Customer Churn Prediction using Pearson Correlation Function and K Nearest Neighbor Algorithm for Telecommunication Industry [PDF]
Customer churn in telecommunication industry is actually a serious issue. The Telco company needs to have a churn prediction model to prevent their customer from moving to another telco.
Roslina, Ibrahim +5 more
core
Customer churn has become a big problem for telecommunication companies. Preventive efforts are needed by predicting the value of churn in the future. This study uses data mining techniques with decision tree algorithms to predict customer churn in one
Muid, Abdul +3 more
core
Conditional Gains: When AI Investment Enhances Firm Efficiency
ABSTRACT The rapid adoption of artificial intelligence (AI) has raised questions about its effect on firm performance. Using a labor‐based measure of AI investment, the baseline results show no direct association between AI investment and firm efficiency.
Pantelis Kazakis
wiley +1 more source
Banking customer churn prediction using random forest based on Smote and Adasyn approach
Customer Churn is now becoming a significant problem in the banking sector. It is necessary to seek solutions to predict the rate of customer churn in banks; however, the dataset for customer churn prediction in banks is imbalanced.
Cong Thanh Tran
doaj +1 more source
Churn prediction for SaaS company with machine learning [PDF]
Purpose – In an era marked by fierce business competition, customer retention is crucial for sustaining profitability. Churn prediction, the ability to forecast customer defections, is essential to enhance retention and can profoundly impact a company’s ...
Hugo Eduardo Sanches +2 more
doaj +1 more source

